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Adaptive estimation for a time inhomogeneous stochastic-volatility model

Härdle, Wolfgang; Spokojnyj, Vladimir G.; Teyssière, … - 2000

is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an …

Persistent link: https://www.econbiz.de/10009582392

Semiparametric modelling of the cross-section of expected returns in the German stock market

Stehle, Richard; Bunke, Olaf; Sommerfeld, Volker - 1997

According to the Sharpe-Lintner capital asset pricing model, expected rates of return on individual stocks differ only because of their different levels of non-diversifiable risk (beta). However, Fama/French (1992) show that the two variables size and book-to-market ratio capture the...

Persistent link: https://www.econbiz.de/10009661022

Weekday dependence of German stock market returns

Herwartz, Helmut - 1999

The so-called 'Monday effect ' has been found for various stock markets of the world. The empirical finding that Monday returns are significantly smaller than returns measured for the remaining days of the week calls the efficiency hypothesis for pricing processes operating on stock markets into...

Persistent link: https://www.econbiz.de/10009580468

Flexible stochastic volatility structures for high frequency financial data

Feldmann, David; Härdle, Wolfgang; Hafner, Christian M.; … - 1998

Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …

Persistent link: https://www.econbiz.de/10009578026

Financial price fluctuations in a stock market model with many interacting agents

Horst, Ulrich - 2001

We consider a financial market model with a large number of interacting agents. Investors are heterogeneous in their expectations about the future evolution of an asset price process. Their current expectation is based on the previous states of their "neighbors" and on a random signal about the...

Persistent link: https://www.econbiz.de/10009613599

Modelling exchange rates volatility with multivariate long-memory ARCH processes

Teyssière, Gilles - 1999 - Rev.

We consider two multivariate long-memory ARCH models, which extend the univariate long-memory ARCH models, we first consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by Bollerslev (1990), and we propose a new unrestricted conditional...

Persistent link: https://www.econbiz.de/10009579181

Empirical modeling of the DEM/USD and DEM/JPY foreign exchange rate: Structural shifts in GARCH-models and their implications

Herwartz, Helmut; Reimers, Hans-Eggert - 2001

- 1998, namely FX-rates measured against the US dollar (USD) and the Japanese yen (JPY). Ta account for volatility e1ustering … prices. Having identified subperiods of homogeneous volatility dynamics we concentrate on stylized facts to distinguish these … volatility regimes. The bottom level of estimated volatility turns out be considerably higher during the second part of the …

Persistent link: https://www.econbiz.de/10009616784

Multivariate volatility models

Fengler, Matthias R.; Herwartz, Helmut - 2001

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on …

Persistent link: https://www.econbiz.de/10009615423

On the (nonlinear) relationship between exchange rate uncertainty and trade : an investigation of US trade figures in the Group of Seven

Herwartz, Helmut (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001918978

Manipulation in political stock markets : preconditions and evidence

Hansen, Jan; Schmidt, Carsten; Strobel, Martin - 2001

Political stock markets (PSM) are sometimes seen as substitutes for opinion polls. On the bases of a behavioral model, specific preconditions were drawn out under which manipulation in PSM can weaken this argument. Evidence for manipulation is reported from the data of two separate PSM during...

Persistent link: https://www.econbiz.de/10009614875